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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
5101	Centers for Disease Control and Prevention	Html	en	Science Clips - Monday, July 05, 2010	null	respondent-driven sampling surveys 0.671178 disease control research 0.69216 health information technology. 0.69007 Acute radiation syndrome 0.671562 public health challenges 0.701951 National Construction Agenda 0.678179 CDC Knowledge 0.723767 temporary certification program 0.670016 Action Science Clips 0.952483 early personal health 0.688163 new weekly digest 0.68495 field testing draft 0.68649 Exp Appl Acarol. 0.677464 Van Kerkhove MD 0.679523 Folic acid intake 0.679248 Chief Science Officer 0.694491 County Osteoarthritis Project 0.682608 child health study 0.694798 rotavirus vaccination program 0.688538 Clin Infect Dis. 0.678051 national probability sample 0.678008 child psychological problems 0.668615 Bennett NM 0.671579 Environ Health Perspect. 0.70262 Stephen B. Thacker 0.758691	Environ Sci Technol. 0.677436 Borne Zoonotic Dis. 0.685818 Rotavirus disease burden 0.69309 Dawood FS 0.681353 folic acid 0.711516 public health 0.736093 Jun 0.689948 state physical education 0.672619 Longini Jr IM 0.675184 avian influenza virus 0.671223 Papanicolaou testing vs 0.672884 public health literature 0.696045 B. Thacker CDC 0.792904 Vaccinia virus infection 0.669894 Arnold KE 0.676441 Candida albicans group 0.672424 progressive radiographic osteoarthritis 0.6823 military smallpox vaccinee 0.669978 H1N1 influenza pandemic 0.679632 West Nile virus 0.674086 NIOSH Construction Program 0.676598 Thacker CDC Library 0.79289 vaccine stockpile design 0.673361 public health research 0.723628	CLICK HERE
5824	Centers for Disease Control and Prevention	Html	en	Antimony - NIOSH Pocket Guide to Chemical Hazards	null	MPEG 0.378858 search 0.263099 PDF 0.261307 PPT 0.446092	DOC 0.368812 information 0.262482 different file formats 0.938484 page 0.276773	CLICK HERE
6878	Centers for Disease Control and Prevention	Html	en	CDC Confirms Two Human Infections with Novel Influenza Viruses	CDC Confirms Two Human Infections with Novel Influenza Viruses.	human influenza 0.515624 novel viruses 0.34617 CDC 0.364046 H3N2 virus 0.297044 United States 0.462312 novel influenza 0.904592 Swine Influenza Infections 0.493122 human influenza viruses 0.513395 seasonal influenza surveillance 0.408846 different novel influenza 0.463527 immune protection 0.297401 H1N1 influenza viruses 0.474017 swine exposure 0.316947 infected swine 0.307307 seasonal flu activity 0.289637 seasonal influenza viruses 0.467503 H1N1 virus 0.313619 West Virginia 0.357174 vaccine virus 0.308538 influenza website 0.371408 novel influenza viruses 0.508581 indirect contact 0.299373 A/New Caledonia/20/99 virus 0.337465	close swine contact 0.373982 A/Brisbane/59/2007-like influenza viruses 0.472404 prior human infections 0.403233 influenza A virus 0.466877 virus infections 0.314558 limited human-to-human transmission 0.582765 human influenza a/brisbane/59/2007 0.459838 novel influenza virus 0.56576 U.S. swine 0.330421 influenza surveillance program 0.40257 seasonal flu vaccine 0.341526 flu viruses 0.31132 swine origins 0.30825 influenza virus specimens 0.460849 virus infection 0.308267 swine 0.49936 human infections 0.465717 different influenza virus 0.477686 influenza viruses 0.610697 H1N2 virus 0.29923 novel influenza infections 0.429888 A/New Caledonia/20/99-like viruses 0.357614 ongoing community transmission 0.289777	CLICK HERE
7593	Centers for Disease Control and Prevention	Html	en	Basic TB Facts - What to Do If You Have Been Exposed To TB	Centers for Disease Control and Prevention, Division of Tuberculosis Elimination	sings 0.217252 reason 0.213644 TB skin test 0.529006 active bacteria 0.3095 coworkers 0.216572 TB disease 0.935064 air 0.215376 body 0.213127 point 0.213129 local health department 0.326075 nurse 0.214112 lungs 0.218568 active TB disease 0.728065	TB bacteria 0.856554 TB infection 0.452138 family members 0.263029 TB Prevention 0.456998 people 0.273743 sneezes 0.215292 TB 0.965007 doctor 0.229572 persons 0.213544 person 0.254784 speaks 0.216061 time 0.247228 special TB blood 0.532465	CLICK HERE
8097	Centers for Disease Control and Prevention	Html	en	Announcement: Introduction to Public Health SurveillanceCourse	Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov.	mmwrq@cdc.gov. 0.683398 planning considerations 0.675728 practical knowledge 0.668396 endorsement 0.574259 data 0.546536 Emory University 0.971381 Human Services 0.773114 assistive technology 0.688752 MMWR HTML versions 0.784334 U.S. Department 0.763713 surveillance systems technology 0.833536 electronic PDF version 0.771484 e-mail 0.585208 surveillance programs 0.698003 state 0.553581 Global Health 0.684987 Additional information 0.662373 Contact GPO 0.686185 legalities 0.540793 commercial sources 0.657833 telephone 0.548779 current prices 0.651012 original paper copy 0.766093 original MMWR paper 0.778152	U.S. Government Printing 0.770628 Clifton Rd 0.66393 assistance 0.529765 MMWR readers 0.66357 character translation 0.649532 file 0.529939 Public Health Surveillance 0.88024 Atlanta 0.552995 Persons 0.530048 course 0.575986 public health professionals 0.844842 public health 0.922179 Hubert Department 0.66829 format errors 0.652068 Rollins School 0.677307 subject line 0.673643 typeset documents 0.658866 trade names 0.658408 official text 0.647447 local concerns 0.65883 non-CDC sites 0.655999 future considerations 0.67421 CNR Bldg. 0.671459 electronic conversions 0.647348	CLICK HERE
8594	Centers for Disease Control and Prevention	Html	en	PanFlu Storybook - In Memorial, Arthur and Julienne Scoltic Valley and Loretta Carmel Crowley	In Memorial, To date, October 1918 remains the deadliest month in U.S. history when approximately 200,000 Americans died of the flu. Healthy, young adults (average age 35 years) began coughing in the morning and were dead by the evening. The family stories described in this section define true courage amid unbearable loss.	City Hospital 0.538879 Julienne′s aunt 0.542639 Arthur 0.970688 hospital administrator 0.536596 large numbers 0.538149 brief illness 0.636514 original letters 0.536244 dear Jewel 0.537442 Ogdensburg newspaper 0.755609 Charles Parker 0.546253 Grey Nuns 0.535224 mother′s family 0.532324 dear little Kathleen 0.66511 Buffalo 0.706387 deep regret 0.529737 father′s older sister 0.640321 Kathy Parker 0.549651 congenital heart defect 0.647356 mother′s sister 0.532948 dry goods merchant 0.647082 family photographs 0.53126 Kathleen Valley–Parker 0.572188 Julia Nisell Scoltic 0.634682 following headline 0.530018	religious order 0.542556 Sister St. Stephen 0.669203 Thousand Islands 0.549367 small town 0.554038 St. Lawrence River 0.67247 typhoid pneumonia 0.560495 Julienne 0.97818 Julienne′s sister 0.53495 father′s brother Edmund 0.625062 paternal grandmother 0.698165 Loretta Carmel Crowley 0.696733 New York 0.820964 father′s mother 0.692264 Art Tyo 0.535247 maternal grandparents 0.562006 Sacred Heart 0.540669 Julienne Scoltic–Valley 0.783879 father′s time 0.537805 Ogdensburg 0.78158 nursing school 0.542864 well–known family 0.547654 young daughter 0.53622 time Arthur 0.656055 Mrs. Arthur G. 0.752663	CLICK HERE
10628	Centers for Disease Control and Prevention	Html	en	PRC Online Health Program, WebEase©, on the Leading Edge of Technology	null	Emory University Prevention 0.380132 Emory University 0.503392 researcher Colleen DiIorio 0.347909 online epilepsy self-management 0.557469 Emory PRC colleagues 0.372984 people 0.348671 epilepsy self-management 0.942604 WebEase application 0.201117 one-on-one epilepsy management 0.471188 motivational interviewing techniques 0.283105	Epilepsy Foundation 0.47045 Web Epilepsy 0.403834 Emory mobile applications 0.341988 Epilepsy Program 0.409938 Internet video connection 0.308582 early mobile health 0.270371 evidence-based online program 0.317929 mobile devices 0.29744 epilepsy self-management program 0.843819 Dr. DiIorio 0.981613	CLICK HERE
13227	Centers for Disease Control and Prevention	Html	en	Improving Children's Behavioral Health | Features |CDC	xxx	new treatment option 0.527533 CDC’s research 0.497719 CDC 0.58012 American Academy 0.570597 mental health 0.784986 environmental mental health 0.541405 preschool children 0.492658 effective treatment 0.485584 Disease Control 0.470063 children 0.82641 behavioral health 0.613948 childhood mental disorders 0.574237 childhood neurobehavioral disorder 0.523729 health related quality 0.519991 tourette syndrome 0.519867 first-line treatment 0.490536 health professionals 0.47225 medication treatment 0.560466 mental illness 0.518465 treatment patterns 0.483399 best practice guidelines 0.600159 effective behavioral treatment 0.625267 behavioral treatment 0.758312 mental disorders 0.862453	Comprehensive Behavioral Intervention 0.591424 special health care 0.534638 good treatment option 0.540309 ADHD 0.734529 public health issue 0.548958 real treatment option 0.527982 obsessive-compulsive disorder 0.517262 behavioral therapy 0.98512 children ages 0.490944 ADHD treatment 0.56855 Substance Abuse 0.469084 mental health promotion 0.539082 treatment option 0.563583 mental health issues 0.541926 common neurobehavioral disorders 0.539593 primary health care 0.548917 CDC researchers 0.495923 treatments children 0.49222 childhood mental disorder 0.562695 behavioral treatments 0.599849 Mental Health Services 0.572784 behavioral disorders 0.576778 way children 0.50075 preferred treatment approach 0.5396	CLICK HERE
15491	Centers for Disease Control and Prevention	Html	en	Symptoms	Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention.	area 0.317082 reason 0.266866 future infections 0.446666 mosquito bites 0.467792 blood tests 0.421884 Zika virus 0.630921 mild symptoms 0.447674 people 0.413846 dengue 0.362064	common symptoms 0.444425 chikungunya 0.381853 Zika 0.97348 infected person 0.477734 symptoms 0.783546 doctor 0.446008 similar viruses 0.421921 healthcare provider 0.974546	CLICK HERE
15693	Centers for Disease Control and Prevention	Html	en	Incidence of Neonatal Abstinence Syndrome - 28 States,1999-2013 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	overall incidence 0.430912 state Medicaid programs 0.383245 NAS surveillance 0.431013 linear trends 0.40388 state-specific NAS incidence 0.639761 logistic regression 0.3796 drug withdrawal syndrome 0.483839 state in-hospital births 0.425803 NAS incidence 0.903461 opioid use disorder 0.421771 prescription drug monitoring 0.411229 acute care hospital 0.417033 public health practice 0.378825 Incidence rate numerator 0.421587 Medicaid programs 0.385496 hospital inpatient delivery 0.384944 opioid prescribing rates 0.414201 overall incidence rate 0.429825 euphoric opioid 0.385798 NAS cases 0.57165 United States 0.408509 in-hospital births 0.425975 overall NAS incidence 0.558725 states 0.486292 NAS incidence rates 0.712832	West Virginia 0.465116 hospital inpatient discharges 0.38276 hospital births 0.786745 annual incidence rate 0.542352 State Inpatient Databases 0.64995 public health 0.466087 postnatal drug withdrawal 0.424597 Utilization Project 0.390226 incidence rate change 0.430526 incidence rate denominator 0.420307 hospital administrative data 0.38103 public health programs 0.378018 opioid use disorders 0.376798 incidence rate changes 0.488025 de-identified administrative data 0.418027 opioid epidemic 0.376024 state-specific NAS estimates 0.466543 Chronic Disease Prevention 0.387895 opioid medications 0.391776 drug monitoring programs 0.414485 utero opioid exposure 0.412773 Neonatal abstinence syndrome 0.421887 opioid therapy 0.376799 NAS-related annual hospital 0.375287	CLICK HERE